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Prevalence and correlates of disability in Bogra district of Bangladesh using the rapid assessment of disability survey

Overview of attention for article published in BMC Public Health, September 2015
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
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Title
Prevalence and correlates of disability in Bogra district of Bangladesh using the rapid assessment of disability survey
Published in
BMC Public Health, September 2015
DOI 10.1186/s12889-015-2202-7
Pubmed ID
Authors

Manjula Marella, Nafisa L. Huq, Alexandra Devine, Sally M. Baker, Md A. Quaiyum, Jill E. Keeffe

Abstract

The aim of this study was to estimate the prevalence of disability and its associated risk factors among adults aged 18 years and over in Bogra district, Bangladesh. The Rapid Assessment of Disability (RAD) survey was conducted using probability-proportional-to-size sampling to select 66 clusters each with 50 people aged 18 years and older in 2010. Households within clusters were selected through compact segment sampling. Disability was identified based on the responses to the self-assessment of functioning section of the RAD questionnaire. Descriptive and multivariate logistic regression analyses were performed to model the associations between risk factors and disability status. Of 1855 adults who participated in the study, 195 (10.5 %) had disability. Age and gender adjusted prevalence of disability in Bogra district was 8.9 % (95 % CI: 7.7, 10.3). The highest prevalence of functional limitation was related to psychological distress (4.7 %; 95 % CI: 3.8, 5.7) followed by vision (4.4 %; 95 % CI: 3.6, 5.4), and hearing (2.3 %; 95 % CI: 1.7, 3.0) difficulties. The adjusted odds of disability increased with age with approximately eight-fold increase from 2.9 % (95 % CI: 1.6, 5.1) in 18-24 years to 24.5 % (95 % CI: 20.2, 29.4) in 55 years and above. People with poor socio-economic status (OR 1.90; 95 % CI: 1.1, 3.3) and who were unemployed (OR = 4.6; 95 % CI: 1.8, 11.6) were more like to have disability compared to the higher socio-economic status and those who have an occupation respectively. There is a significant need for promoting programs for health, well-being, and rehabilitation, and policies specifically targeting the older population, women, unemployed and poor people in Bangladesh.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Bangladesh 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 17%
Researcher 8 14%
Student > Ph. D. Student 7 12%
Student > Bachelor 6 10%
Student > Doctoral Student 3 5%
Other 11 19%
Unknown 13 22%
Readers by discipline Count As %
Medicine and Dentistry 9 16%
Nursing and Health Professions 8 14%
Economics, Econometrics and Finance 6 10%
Social Sciences 5 9%
Business, Management and Accounting 3 5%
Other 8 14%
Unknown 19 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 December 2015.
All research outputs
#13,096,627
of 22,828,180 outputs
Outputs from BMC Public Health
#9,145
of 14,870 outputs
Outputs of similar age
#121,024
of 267,706 outputs
Outputs of similar age from BMC Public Health
#186
of 317 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,870 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 267,706 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 317 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.